Connected VehicleDigital Cockpit

Stellantis acquires AI framework from CloudMade

AMSTERDAM – Stellantis N.V. announced the acquisition of the artificial intelligence framework, machine learning models and intellectual property rights and patents of CloudMade, a developer of smart and innovative big data-driven automotive solutions. This acquisition is part of Stellantis’ effort to enhance the personalized mobility experience for their customers. CloudMade’s technologies will enable Stellantis to offer more advanced in-car infotainment systems and personalized features to their vehicles. This could potentially improve customer satisfaction and loyalty.

The acquisition, structured as an asset deal, will support the mid-term development of STLA SmartCockpit. It also reinforces Stellantis’ software strategy outlined in Dare Forward 2030.

The AI-powered framework created by CloudMade is the industry-leading cloud and software development kit. It features integrated graphical interfaces and is designed for collecting and analyzing automotive data sets. This framework has been the reference point for transforming the in-car and mobility user experience throughout the past decade.

“The acquisition of CloudMade’s pioneering AI capabilities will accelerate our development journey on STLA SmartCockpit. It will also help us deliver our Dare Forward 2030 goals,” said Yves Bonnefont, Stellantis Chief Software Officer. “Thanks to this adaptable technology and leveraging our growing connected car parc, we will create intelligent mobility solutions faster and with more flexibility. This will delight our customers with in-vehicle and mobile experience personalization.”

As part of the acquisition, 44 engineers and software developers from CloudMade, dedicated to the development of AI technology, will be joining Stellantis.

“CloudMade is extremely pleased with this transaction,” said Jim Brown, founder and CTO of CloudMade. “The team is excited to deepen their working relationship with Stellantis to bring new features to the vehicle’s cockpit.”

CloudMade’s framework architecture allows maximizing data value using three learning approaches. The first is personalized learning, which predicts an individual’s behavior in a particular context. The second is fleet learning, utilizing sensor data across devices to detect and share real-world features. Lastly, cohort learning involves combining real-world data with data from clustered groups of people distinguished by attributes.

CloudMade’s software technology will support Stellantis’ strategy to develop intelligent mobility products. It aims to enhance the overall customer experience with personalized features that will make their drive safer, their life easier, and their trip exciting.

Services and products will include:

  • Predictive maintenance and diagnostics to proactively identify and schedule maintenance needs and provide alerts, thus enhancing vehicle availability.
  • Personalized in-car experiences able to adapt to individual preferences such as climate control, driving style coaching and entertainment options.
  • Stellantis-specific voice assistant enhanced with custom automotive skills to advise on car features, answer model-specific queries and optimize voice routing.
  • Optimized mobile experience and remote commands such as pre-trip planning, battery preconditioning and other proposed activities, based on frequent driver’s behavior.
  • Advanced navigation and mapping that will provide up-do-date maps, real-time traffic information and intelligent routing, thus improving the overall navigation experience and help customers reach their destination more efficiently.
  • Targeted features for fleet management,which will allow business customers to optimize delivery schedules, reduce travel time and resource utilization, increase productivity and EV performance, and, ultimately, facilitate the monitoring and management of the overall fleet.

Stellantis will acquire the ability to develop end-to-end and fully owned navigation features through this acquisition. It aims to enhance data privacy by managing the data for training the models internally, thus reducing risks of possible exposure. Additionally, Stellantis plans to introduce development kits for making custom models for its software developers.

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